code: def f1_score(label_list, pred_list):
      tp = len([t for t in pred_list if t in label_list])
      fp = max(0, len(pred_list) - tp)
      fn = max(0, len(label_list) - tp)
      precision = tp / (tp + fp + 1e-10)
      recall = tp / (tp + fn + 1e-10)
      f1 = 2 * precision * recall / (precision + recall + 1e-10)
      return f1
  
imports: import logging
  import json
  import numpy
  from collections import OrderedDict
  from .None import ontology
label_desc: Use image node_id 3 for calling a global function with example usage: f1_score(label_list, pred_list) and returns: f1